A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
PM2.5 sources affecting particle radioactivity in Boston, Massachusetts
https://orcid.org/0000-0001-5428-7228
Abstract Recent studies have found associations between particle radioactivity and various human health outcomes. The aim of this study is to identify sources contributing to PM2.5 (particulate matter with the aerodynamic diameter less than 2.5 μm) gross α- and β-activity levels. We used positive matrix factorization (PMF) to identify and apportion sources of PM2.5 in Boston during the period of one year in Boston. Toward this end, we used daily concentrations of elements, black carbon (BC), and PM2.5 mass. We identified six source types: regional pollution, motor vehicles, oil combustion, crustal, biomass burning, and sea salt. Subsequently, we performed multiple linear regression (MLR) analysis to examine the association between individual source contributions and PM2.5 gross α- and β-activities. Our analysis suggested that regional pollution had the highest impact on both PM2.5 α- and β-activities, followed by motor vehicles. Biomass burning and sea salt were not significantly associated with PM2.5 β-activity.
Graphical abstract Display Omitted
Highlights Six PM2.5 sources were identified in Boston, Massachusetts, USA. Regional pollution had the highest correlations with both PM2.5 α- and β-activities. Biomass burning and sea salt were not significantly associated with PM2.5 β-activity.
Capsule: PM 2.5 α- and β-activities were most associated with the regional pollution.
PM2.5 sources affecting particle radioactivity in Boston, Massachusetts
https://orcid.org/0000-0001-5428-7228
Abstract Recent studies have found associations between particle radioactivity and various human health outcomes. The aim of this study is to identify sources contributing to PM2.5 (particulate matter with the aerodynamic diameter less than 2.5 μm) gross α- and β-activity levels. We used positive matrix factorization (PMF) to identify and apportion sources of PM2.5 in Boston during the period of one year in Boston. Toward this end, we used daily concentrations of elements, black carbon (BC), and PM2.5 mass. We identified six source types: regional pollution, motor vehicles, oil combustion, crustal, biomass burning, and sea salt. Subsequently, we performed multiple linear regression (MLR) analysis to examine the association between individual source contributions and PM2.5 gross α- and β-activities. Our analysis suggested that regional pollution had the highest impact on both PM2.5 α- and β-activities, followed by motor vehicles. Biomass burning and sea salt were not significantly associated with PM2.5 β-activity.
Graphical abstract Display Omitted
Highlights Six PM2.5 sources were identified in Boston, Massachusetts, USA. Regional pollution had the highest correlations with both PM2.5 α- and β-activities. Biomass burning and sea salt were not significantly associated with PM2.5 β-activity.
Capsule: PM 2.5 α- and β-activities were most associated with the regional pollution.
PM2.5 sources affecting particle radioactivity in Boston, Massachusetts
https://orcid.org/0000-0001-5428-7228
Abstract Recent studies have found associations between particle radioactivity and various human health outcomes. The aim of this study is to identify sources contributing to PM2.5 (particulate matter with the aerodynamic diameter less than 2.5 μm) gross α- and β-activity levels. We used positive matrix factorization (PMF) to identify and apportion sources of PM2.5 in Boston during the period of one year in Boston. Toward this end, we used daily concentrations of elements, black carbon (BC), and PM2.5 mass. We identified six source types: regional pollution, motor vehicles, oil combustion, crustal, biomass burning, and sea salt. Subsequently, we performed multiple linear regression (MLR) analysis to examine the association between individual source contributions and PM2.5 gross α- and β-activities. Our analysis suggested that regional pollution had the highest impact on both PM2.5 α- and β-activities, followed by motor vehicles. Biomass burning and sea salt were not significantly associated with PM2.5 β-activity.
Graphical abstract Display Omitted
Highlights Six PM2.5 sources were identified in Boston, Massachusetts, USA. Regional pollution had the highest correlations with both PM2.5 α- and β-activities. Biomass burning and sea salt were not significantly associated with PM2.5 β-activity.
Capsule: PM 2.5 α- and β-activities were most associated with the regional pollution.
PM2.5 sources affecting particle radioactivity in Boston, Massachusetts
Yu, ShuangYu (author) / Kang, Choong-Min (author) / Liu, Man (author) / Koutrakis, Petros (author)
Atmospheric Environment ; 259
2021-04-28
Article (Journal)
Electronic Resource
English
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